As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role:
CrowdStrike is seeking an exceptional Director of Data Science to partner specifically with our Charlotte AI and GenAI Platform engineering teams.
As the Director of Data Science for AI Engineering, you will work with the Charlotte AI engineering team to research and optimize large language models for cybersecurity-specific natural language processing, threat analysis, and automated response generation. Simultaneously, you will collaborate with the GenAI Platform engineering team to build the foundational ML infrastructure that supports internal and external GenAI applications.
What You’ll Do:
Lead data science for flagship AI products that are transforming cybersecurity operations globally
Work on technology that processes security data for Fortune 100 companies and thousands of security professionals
Shape the future of AI-driven security solutions that materially reduce cyber risk for organizations worldwide
Gain deep expertise in applying LLMs and distributed systems at enterprise scale in a high-impact, customer-facing context
Join a role that sits at the forefront of AI in cybersecurity, defining how AI will be adopted in enterprises to combat threats
Key Responsibilities
Strategic Partnership & Leadership
Partner specifically with Charlotte AI and GenAI Platform Engineering leaders to define integrated roadmaps
Collaborate with Charlotte AI team on optimizing transformer models for cybersecurity-specific NLP tasks
Work closely with GenAI Platform engineering to align vector database, RAG systems, and LLM serving infrastructure with Charlotte AI’s conversational AI requirements
Co-develop LLM fine-tuning, prompt engineering, and model evaluation standards specifically for Charlotte AI and GenAI Platform teams
Charlotte AI Collaborative Development
Partner directly with engineering teams to integrate LLM-based conversational AI models into the threat detection and triage pipeline, distinct from traditional ML models in Falcon
Collaborate with product engineers to implement real-time LLM inference for natural language threat analysis and automated response generation
Work alongside backend teams to optimize transformer model performance for cybersecurity-specific reasoning tasks
Co-design with frontend engineers to ensure conversational AI interactions and LLM-generated insights are effectively presented to security analysts
Partner with engineering teams to establish robust LLM deployment pipelines, prompt versioning, and model monitoring workflows specific to generative AI
Collaborate on achieving and maintaining >98% accuracy in threat detection conversations and automated triage recommendations
GenAI Platform Engineering Collaboration
Partner with infrastructure teams to co-design LLM serving architecture, vector database systems, and RAG pipelines for conversational AI and agentic workflows
Collaborate with platform engineers to build shared LLM fine-tuning and evaluation frameworks that serve multiple AI applications including conversational AI, internal tooling and coding assistants
Work closely with cost optimization teams to implement intelligent LLM routing across multiple providers and custom models
Partner with observability engineers to design comprehensive LLM monitoring, token usage tracking, and generative AI performance alerting systems
Collaborate with data engineering teams to build robust vector database integrations for cybersecurity knowledge retrieval and context augmentation
Co-develop with platform teams the shared generative AI infrastructure that powers conversational AI, agentic workflows, and internal AI tooling
Collaborative Team Leadership
Build and lead a specialized data science team focused exclusively on LLM research, prompt engineering, and generative AI applications for cybersecurity – embedded with Charlotte AI and GenAI Platform engineering teams
Foster deep collaboration between LLM researchers and AI engineers through shared OKRs, and cross-functional mentoring
Create integrated development processes where data scientists and engineers collaborate on LLM fine-tuning, prompt optimization, RAG system development, and agentic AI workflows
Technical Excellence & Innovation
Stay at the forefront of AI/ML research, particularly in areas relevant to cybersecurity
Drive adoption of state-of-the-art techniques in large language models, multimodal AI, and agentic systems
Establish rigorous experimentation frameworks and A/B testing methodologies
Ensure responsible AI practices, including bias detection, fairness, and explainability
Lead efforts in model security, adversarial robustness, and AI safety
Impact You’ll Drive
Optimize systems that eliminate 40+ hours of manual work per week for customers
Enhance AI capabilities that speed up security inquiries by 75% and boost analyst efficiency by 52%
Scale AI infrastructure serving 8,000+ internal employees across engineering, sales, marketing, and HR
Drive technology that processes thousands of daily queries improving productivity and decision-making
Products You’ll Impact
Charlotte AI: Industry-first conversational AI security analyst that converts hours of work into minutes, with agentic response capabilities recognized as among 2025’s hottest cybersecurity products
GenAI Hub & GenAI Platform: Enterprise-grade AI infrastructure democratizing cutting-edge AI access across 10,000+ employees while maintaining security and reliability
What You’ll Need:
Education & Experience
PhD in Computer Science, Machine Learning, Statistics, or related quantitative field, OR
Master’s degree with 8+ years of relevant industry experience
5+ years of experience leading data science teams in production environments
3+ years of experience with large language models, generative AI, or related technologies
Technical Expertise
Deep expertise in machine learning, deep learning, and statistical modeling
Extensive experience with LLMs, transformer architectures, and generative AI techniques
Proficiency in Python, R, or similar languages for data science and ML
Experience with ML frameworks (PyTorch, TensorFlow, Hugging Face, etc.)
Strong background in MLOps, model deployment, and production ML systems
Experience with cloud platforms (AWS, Azure, GCP) and distributed computing
Knowledge of vector databases, embedding models, and RAG architectures
Team Culture & Collaborative LeadershipCollaborative Leadership & Communication
Lead within a startup mindset inside a global cybersecurity leader
Partner with teams that operate with complete autonomy and end-to-end ownership
Collaborate with cross-functional units including dedicated product managers, UX designers, and security strategists
Work in a culture of innovation, mentorship, and continuous learning with rapid experimentation and release cycles
Lead integrated teams where every voice is heard and every member contributes to both technical and strategic direction
Foster collaboration across Romania (primary hub), Europe, and expanding US presence
Proven experience leading data science teams in close partnership with engineering organizations
Track record of successful collaboration with engineering directors and technical leads on complex AI/ML initiatives
Strong ability to facilitate technical discussions between data science and engineering teams, driving consensus on architectural decisions
Experience co-presenting technical roadmaps and results with engineering partners to executive leadership
Demonstrated success in building integrated data science-engineering workflows that deliver production AI systems at scale
Preferred Qualifications
Domain Expertise
Experience in cybersecurity, threat detection, or security analytics
Background in anomaly detection, fraud detection, or similar security-adjacent domains
Knowledge of cybersecurity frameworks, threat intelligence, and security operations
Experience with time-series analysis, log analysis, or security event correlation
Advanced Technical Skills
Experience with agentic AI systems, multi-agent frameworks, or autonomous systems
Background in reinforcement learning, particularly for decision-making systems
Experience with model interpretability, explainable AI, and responsible AI practices
Knowledge of federated learning, privacy-preserving ML, or secure computation
Experience with real-time ML systems and low-latency inference
Industry Experience
Previous experience leading data science teams focused on LLM applications, generative AI, or conversational AI systems in close collaboration with engineering organizations
Track record of partnering with engineering teams to deliver enterprise B2B generative AI products, LLM-powered customer-facing systems, or agentic AI workflows
Background in collaborative development of LLM-based AI products that operate at scale, with specific experience in vector databases, RAG systems, and LLM serving infrastructure
Experience in organizations where generative AI data science and engineering teams work as integrated units to deliver production LLM capabilities, distinct from traditional ML model development
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Benefits of Working at CrowdStrike:
Remote-friendly and flexible work culture
Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe
CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions–including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs–on valid job requirements.
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